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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Test configs for padv2."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import numpy as np
21import tensorflow.compat.v1 as tf
22from tensorflow.lite.testing.zip_test_utils import create_tensor_data
23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
24from tensorflow.lite.testing.zip_test_utils import register_make_test_function
25
26
27@register_make_test_function()
28def make_padv2_tests(options):
29  """Make a set of tests to do padv2."""
30
31  # TODO(nupurgarg): Add test for tf.uint8.
32  test_parameters = [
33      # 5D:
34      {
35          "dtype": [tf.int32, tf.int64, tf.float32],
36          "input_shape": [[1, 1, 2, 1, 1], [2, 1, 1, 1, 1]],
37          "paddings": [[[0, 0], [0, 1], [2, 3], [0, 0], [1, 0]],
38                       [[0, 1], [0, 0], [0, 0], [2, 3], [1, 0]]],
39          "constant_paddings": [True, False],
40          "constant_values": [0, 2],
41      },
42      # 4D:
43      {
44          "dtype": [tf.int32, tf.int64, tf.float32],
45          "input_shape": [[1, 1, 2, 1], [2, 1, 1, 1]],
46          "paddings": [[[0, 0], [0, 1], [2, 3], [0, 0]],
47                       [[0, 1], [0, 0], [0, 0], [2, 3]]],
48          "constant_paddings": [True, False],
49          "constant_values": [0, 2],
50      },
51      # 2D:
52      {
53          "dtype": [tf.int32, tf.int64, tf.float32],
54          "input_shape": [[1, 2]],
55          "paddings": [[[0, 1], [2, 3]]],
56          "constant_paddings": [True, False],
57          "constant_values": [0, 2],
58      },
59      # 1D:
60      {
61          "dtype": [tf.int32],
62          "input_shape": [[1]],
63          "paddings": [[[0, 1]]],
64          "constant_paddings": [False],
65          "constant_values": [0, 2],
66      },
67  ]
68
69  def build_graph(parameters):
70    """Build a pad graph given `parameters`."""
71    input_tensor = tf.compat.v1.placeholder(
72        dtype=parameters["dtype"],
73        name="input",
74        shape=parameters["input_shape"])
75
76    # Get paddings as either a placeholder or constants.
77    if parameters["constant_paddings"]:
78      paddings = parameters["paddings"]
79      input_tensors = [input_tensor]
80    else:
81      shape = [len(parameters["paddings"]), 2]
82      paddings = tf.compat.v1.placeholder(
83          dtype=tf.int32, name="padding", shape=shape)
84      input_tensors = [input_tensor, paddings]
85
86    out = tf.pad(
87        input_tensor,
88        paddings=paddings,
89        constant_values=parameters["constant_values"])
90    return input_tensors, [out]
91
92  def build_inputs(parameters, sess, inputs, outputs):
93    values = [
94        create_tensor_data(parameters["dtype"], parameters["input_shape"])
95    ]
96    if not parameters["constant_paddings"]:
97      values.append(np.array(parameters["paddings"]))
98    return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
99
100  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
101